CN113239145A - Resume retrieval method based on job description - Google Patents
Resume retrieval method based on job description Download PDFInfo
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- CN113239145A CN113239145A CN202110496677.9A CN202110496677A CN113239145A CN 113239145 A CN113239145 A CN 113239145A CN 202110496677 A CN202110496677 A CN 202110496677A CN 113239145 A CN113239145 A CN 113239145A
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Abstract
The invention discloses a resume retrieval method based on position description, which comprises the following steps: s1, preprocessing the resume in the resume library, performing semantic analysis on the text description in the resume, setting identification, relevance and degree definition for key entities in the semantic analysis result, and establishing an information map for the resume library; s2, splitting the job description text, splitting the job responsibility and the job capability requirement, and analyzing and judging the semantics, the approximate value and the importance; and S3, matching the processing result of the position description with the data in the information map, grading according to different degrees, and screening out the resume which best meets the position description. The invention improves the efficiency and the accuracy of personnel in the resume searching process.
Description
Technical Field
The invention belongs to the field of human resource management, and particularly relates to a resume retrieval system for improving the efficiency and accuracy of personnel in the resume searching process.
Background
Enterprises obtain a large number of resumes through various recruitment channels and store the resumes in a database, after job descriptions are obtained by recruiters in personnel departments from the business departments, the contents of the job descriptions are combated, resumes are searched in the resume databases, and the job descriptions contain a lot of professional information and vocabularies, so that the recruiters have great challenges, keywords required for searching can be correctly extracted after the recruiters understand the resumes, fuzzy searching is performed through the keywords, and the searching process is low in efficiency and accuracy.
Disclosure of Invention
Aiming at the defects of the prior art, the invention provides a resume retrieval method based on the position description.
The technical scheme adopted by the invention is as follows: a resume retrieval method based on job description comprises the following steps:
s1, preprocessing the resumes in the resume library:
reading the resume, performing semantic analysis on basic information, work experience, education background, skill description and text description of self introduction in the resume respectively, setting identification, relevance and degree definition for key entities in semantic analysis results, and establishing an information map for all the resumes in the resume library according to the definition;
s2, inputting position description, splitting the position description text through text analysis, splitting the position responsibility and position capability requirements, and analyzing and judging the semantics, approximate values and importance degree through natural semantic analysis, special name identification and degree identification;
and S3, matching the processing result of the position description with the data in the information map, grading according to different degrees, and screening the resume which best meets the position description according to the grading result.
The specific operations of setting the identifier, the relevance and the degree definition for the key entities in the semantic analysis result in step S1 are as follows:
s1.1, entity definition is carried out on the city in the basic information, and the importance degree is defined;
s1.2, entity definition is carried out on companies, departments and posts in the working experience, companies in the same industry in a built-in library are searched through the names of the companies, entity relation matching is carried out, and the importance degree is defined according to the working time and the working years;
s1.3, retrieving school ranking in the built-in library according to school names in the education background, and marking the ability degree;
s1.4, defining entities and degrees according to professional names and proficiency in the skill description;
and S1.5, judging the character tendency through semantic analysis according to the description in the self-profile.
Advantageous effects
Compared with the prior art, the method has the advantages that the human input can be greatly reduced, the deep understanding requirement of operators on professional knowledge is reduced, the job description provided by a service department only needs to be input, the meaning and the purpose of each key requirement and technical index do not need to be known clearly, the recruiter searches the resume in the resume library and uploads or inputs the job description directly, the system can automatically analyze according to the content, and the most matched resume can be searched from the resume library only through simple operation.
Description of the drawings:
FIG. 1 is a schematic flow chart of the present invention.
Detailed Description
The present invention will be described in further detail with reference to the accompanying drawings and examples.
As shown in fig. 1, the resume retrieval method based on job description of the present invention includes the following steps:
s1, preprocessing the resumes in the resume library:
reading the resume, performing semantic analysis on basic information, work experience, education background, skill description and text description of self introduction in the resume respectively, setting identification, relevance and degree definition for key entities in semantic analysis results, and establishing an information map for all the resumes in the resume library according to the definition;
the specific operations of setting the identifier, the relevance and the degree definition for the key entities in the semantic analysis result in step S1 are as follows:
s1.1, entity definition is carried out on the city in the basic information, and the importance degree is defined;
s1.2, entity definition is carried out on companies, departments and posts in the working experience, companies in the same industry in a built-in library are searched through the names of the companies, entity relation matching is carried out, and the importance degree is defined according to the working time and the working years;
s1.3, retrieving school ranking in the built-in library according to school names in the education background, and marking the ability degree;
s1.4, defining entities and degrees according to professional names and proficiency in the skill description;
and S1.5, judging the character tendency through semantic analysis according to the description in the self-profile.
S2, inputting position description, splitting the position description text through text analysis, splitting the position responsibility and position capability requirements, and analyzing and judging the semantics, approximate values and importance degree through natural semantic analysis, special name identification and degree identification;
and S3, matching the processing result of the position description with the data in the information map, grading according to different degrees, and screening the resume which best meets the position description according to the grading result.
According to the resume retrieval method based on the position description, the recruiter searches for the resume in the resume library, directly uploads or inputs the position description, the system can automatically analyze according to the content, and can search out the most matched resume from the resume library only through simple operation, so that the labor input can be greatly reduced, and the efficiency and the accuracy in the resume searching process are improved.
Claims (2)
1. A resume retrieval method based on job description is characterized by comprising the following steps: the method comprises the following steps:
s1, preprocessing the resumes in the resume library:
reading the resume, performing semantic analysis on basic information, work experience, education background, skill description and text description of self introduction in the resume respectively, setting identification, relevance and degree definition for key entities in semantic analysis results, and establishing an information map for all the resumes in the resume library according to the definition;
s2, inputting position description, splitting the position description text through text analysis, splitting the position responsibility and position capability requirements, and analyzing and judging the semantics, approximate values and importance degree through natural semantic analysis, special name identification and degree identification;
and S3, matching the processing result of the position description with the data in the information map, grading according to different degrees, and screening the resume which best meets the position description according to the grading result.
2. The resume retrieval method based on job description as claimed in claim 1, wherein:
the specific operations of setting the identifier, the relevance and the degree definition for the key entities in the semantic analysis result in step S1 are as follows:
s1.1, entity definition is carried out on the city in the basic information, and the importance degree is defined;
s1.2, entity definition is carried out on companies, departments and posts in the working experience, companies in the same industry in a built-in library are searched through the names of the companies, entity relation matching is carried out, and the importance degree is defined according to the working time and the working years;
s1.3, retrieving school ranking in the built-in library according to school names in the education background, and marking the ability degree;
s1.4, defining entities and degrees according to professional names and proficiency in the skill description;
and S1.5, judging the character tendency through semantic analysis according to the description in the self-profile.
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| CN202110496677.9A CN113239145A (en) | 2021-05-07 | 2021-05-07 | Resume retrieval method based on job description |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117314378A (en) * | 2023-09-27 | 2023-12-29 | 深圳夸夸菁领科技有限公司 | Intelligent talent searching method and RPA robot system |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117314378A (en) * | 2023-09-27 | 2023-12-29 | 深圳夸夸菁领科技有限公司 | Intelligent talent searching method and RPA robot system |
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